Abstract--Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often dire...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Efficient multiresolution representations for isosurfaces and interval volumes are becoming increasingly important as the gap between volume data sizes and processing speed continu...
Ubiquitous physiological monitoring will be a key driving force in the upcoming wireless health revolution. Cardiac and brain signals in the form of ECG and EEG are two critical h...
Yu M. Chi, Patrick Ng, Eric Kang, Joseph Kang, Jen...
—There has been recent interest within the networking research community to understand how performance scales in cognitive networks with overlapping n primary nodes and m seconda...